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Reinforcement Learning-Based Multi-AUV Adaptive Trajectory Planning for Under-Ice Field Estimation

This work studies online learning-based trajectory planning for multiple autonomous underwater vehicles (AUVs) to estimate a water parameter field of interest in the under-ice environment. A centralized system is considered, where several fixed access points on the ice layer are introduced as gatewa...

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Detalles Bibliográficos
Autores principales:	Wang, Chaofeng, Wei, Li, Wang, Zhaohui, Song, Min, Mahmoudian, Nina
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263807/ https://www.ncbi.nlm.nih.gov/pubmed/30424017 http://dx.doi.org/10.3390/s18113859

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